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NEW QUESTION: 1
Which two metrics should you use to identify the appropriate RU/s for the telemetry data? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Number of requests
B. End to end observed read latency at the 99th percentile
C. Session consistency
D. Data + Index storage consumed
E. Number of requests exceeded capacity
F. Avg Troughput/s
Answer: A,D
Explanation:
Explanation
Scenario: The telemetry data must be monitored for performance issues. You must adjust the Cosmos DB Request Units per second (RU/s) to maintain a performance SLA while minimizing the cost of the Ru/s.
With Azure Cosmos DB, you pay for the throughput you provision and the storage you consume on an hourly basis.
While you estimate the number of RUs per second to provision, consider the following factors:
Item size: As the size of an item increases, the number of RUs consumed to read or write the item also increases.
Topic 4, ADatum Corporation
Case study
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.

NEW QUESTION: 2
Why would a memory dump be admissible as evidence in court?
A. Because it is used to demonstrate the truth of the contents.
B. Because the state of the memory cannot be used as evidence.
C. Because of the exclusionary rule.
D. Because it is used to identify the state of the system.
Answer: D
Explanation:
A memory dump can be admitted as evidence if it acts merely as a statement of fact. A system dump is not considered hearsay because it is used to identify the state of the system, not the truth of the contents. The exclusionary rule mentions that evidence must be gathered legally or it can't be used. This choice is a distracter. Source: ANDRESS, Mandy, Exam Cram CISSP, Coriolis, 2001, Chapter 10: Law, Investigation, and Ethics (page 187).

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some questions sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure subscription that contains an Azure Storage account.
You plan to implement changes to a data storage solution to meet regulatory and compliance standards.
Every day, Azure needs to identify and delete blobs that were NOT modified during the last 100 days.
Solution: You schedule an Azure Data Factory pipeline.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Instead apply an Azure Blob storage lifecycle policy.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-lifecycle-management-concepts?tabs=azure-porta

NEW QUESTION: 4
View the Exhibit exhibit1.

In the CUSTOMERS_OBE table, when the value of CUST_STATE_PROVINCE is "CA", the value of COUNTRYJD is "US."
View the Exhibit exhibit2 to examine the commands and query plans.
The optimizer can sense 8 rows instead of 29 rows, which is the actual number of rows in the table. What can you do to make the optimizer detect the actual selectivity?
A. Change the STALE_PERCENT value for the CUSTOMERS_OBE table.
B. Set the OPTIMIZER_USE_PENDING_STATISTICS parameter to FALSE.
C. Create extended statistics for the CUST_STATE_PROVINCE and CUSTOMERSJDBE columns.
D. Set the STATISTICS_LEVEL parameter to TYPICAL.
Answer: C